Senior Data Science Analyst

Present in over 100 countries and employing nearly 80,000 professionals, Publicis Groupe is the third largest communications group in the world. As a Connecting Company for the Connected Age, Publicis Groupe is able to deliver winning solutions for clients through the Power of One - driven by a common purpose, a powerful spirit, shared behaviors, great character and a relentless focus on our clients. 

Based on The Power Of One mantra, we created Publicis Global Delivery, a solution providing offshore & nearshore expertise of all Publicis Global Services’ capabilities. World-Class talent united in One-Team.  

From Publicis Global Delivery, we are looking for a Data Scientist/Analyst to join Publicis Sapient´s team.

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. This requires big thinkers who bring insight, knowledge, technical acumen and passion for innovation. 

As digital pioneers with 20,000 people and 53 offices around the globe, we offer the opportunity to join a recognized leader in developing and delivering ground-breaking solutions for today’s dynamic global marketplace and an award-winning culture that fosters growth and leadership.

Description
Senior Associate Data Science Analyst will collaborate with a team of business stakeholders and technologists to produce enterprise scale data science solutions for our clients’ needs. This position will be focused on building and analyzing CRM analytics dashboards to enable data-driven CRM programs. You will function as part of a world class Data Analytics team to support experience optimization, data driven storytelling and digital insights.

Primary Responsibilities:

• Co-lead the design, development, and delivery for CRM data systems, data processing, and campaign dashboards to enable faster, data-informed decision-making within the business.
• Work with the business’s data analytics and strategy teams to define campaign measurement plans, KPIs, analysis dimensions and dashboard requirements to enable campaign performance measurement.
• Define dashboard plan and build raw data structure, KPI formulas and parameters, data filters, visualization plan, etc. utilizing visualization tools like QlikSense, Tableau, Sisense, etc.
• Maintain data integrity by adhering to best practices, creating QA processes and performing regular data quality checks, along with troubleshooting any issues that arise.
• Perform hands-on analyses on large volumes of transaction, marketing and customer level data
• Analyze customer campaigns and journeys to identify optimization opportunities, and present insights to clients and account teams with recommendations backed by robust analysis.
• Participate in A/B testing strategy and analysis, build the experiment pipeline, interpret experimentation results to help clients evolve programs.
• Provide status updates to team members on a regular basis and clearly escalate issues and risks to project management as needed.
• Deliver quality work on defined tasks with little oversight and direction.

Required Skills and Experience:

• Bachelor’s degree in Business or quantitative studies.
• 3-5 years of work experience in marketing analytics or a quantitative business environment.
• Passion for digital analytics and deriving insights to solve client business challenges.
• Innate curiosity to understand the “why” behind the data, with strong desire and capacity to learn.
• Experience with Adobe Analytics, Google Analytics, Optimizely, Salesforce Marketing Cloud, and other MarTech tools.
• Experience working with different query languages a plus (i.e. Python, SQL, QlikSense scripting).
• Understanding of development and project methodologies.
• Ability to work collaboratively in teams with other specialized individuals.
• Ability to work in a fast-paced, technical environment.
• Strong verbal and written communication skills.
• Strong sense of ownership and pride on the quality of data.

Benefits

• Access to Prepaid Medical Plan
• Flexible schedules
• Flexible WFH Policy
• 14 business days of vacation
• Free week at the end of the year
• English lessons
• Discounts on courses, trainings and universities
• Access E-Learning platforms
• Certification programs
• Salary adjustments every 3 months
• Level up program